New model from https://wandb.ai/wandb/huggingtweets/runs/2pg29c3r

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Liver.
 | Short tweets | 246 |
 | Tweets kept | 1076 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/25a4m62h/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3q5raeaw/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
 
 ## Training procedure
 
 The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @drjliver's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/13xjzfjz) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2pg29c3r) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/13xjzfjz/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2pg29c3r/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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